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Load 2021-2022 test data.

This example shows how to load the test data for the years 2021 and 2022 using the high-level sda.api.load.load_test() function.

First, we import the required libraries.

import pandas as pd

from sda.api.load import load_test

Then, we define the test names to be loaded.

# Test names (the load_test function will automatically find the files)
test_names = [
    "21s16",  # Sparkv3 - Pyrolyse quanti
    "21s17c",  # section_reduite
    "21s37",  # pyrolyse run bas débit - chromato
    "21s42",  # pyrolyse run bas débit - chromato
    "22s01",  # pyrolyse exploration pression
    "22s03",  # temps formation jonction
    "22s05a",  # pyrolyse reacteur V3C
    "22s05b",  # pyrolyse reacteur V3D
    "22s11",  # pyrolyse reacteur V3D
    "22s25",  # pyrolyse reacteur V4A
]

Now, we can load the data using the high-level load_test() function.

# Load all tests and combine into a single DataFrame
all_dataframes = []

for test_name in test_names:
    df = load_test(test_name)
    all_dataframes.append(df)

# Combine all DataFrames
df = pd.concat(all_dataframes, ignore_index=True)

# Output
print(f"{len(df)} experimental points parsed")
print(df)